Effect of iron ion configurations on Ni^(2+) removal in electrocoagulation

Electrocoagulation(EC)has been widely used to treat the heavymetal wastewater in industry.A novel process of sinusoidal alternating current electrocoagulation(SACC)is adopted to remove Ni2+in wastewater in this study.The morphology of precipitates and the distribution of the main functional iron configurations were investigated.Ferron timed complex spectroscopy can identify the monomeric iron configurations[Fe(a)],oligomeric iron configurations[Fe(b)]and polymeric iron configurations[Fe(c)].The optimal operating conditions of SACC process were determined through single-factor experiments.The maximum Ni2+removal efficiency[Re(Ni^(2+))]was achieved under the conditions of pH0=7,current density(j)=7 A/m^(2),electrolysis time(t)=25 min,c0(Ni^(2+))=100 mg/L.At pH=7,the proportion of Fe(b)and Fe(c)in the system was 50.4 at.% and 23.1 at.%,respectively.In the SACC process,Fe(b)and Fe(c)are themain iron configurations in solution,while Fe(c)are the vastmajority of the iron configurations in the direct current electrocoagulation(DCC)process.Re(Ni2+)is 99.56% for SACC and 98.75% for DCC under the same optimum conditions,respectively.The precipitates produced by SACC have a high proportion of Fe(b)configurations with sphericalα-FeOOH andγ-FeOOH structures which contain abundant hydroxyl groups.Moreover,it is demonstrated that Fe(b)has better adsorption capacity than Fe(c)through adsorption experiments of methyl orange(MO)dye.Fe(a)configurations in the homogeneous solution had no effect on the removal of nickel.

Characteristic analysis of skin keratinocytes in patients with type 2 diabetes based on the single-cell levels

Background: Keratinocytes play an important role in wound healing;however, less is known about skin keratinocytes in patients with type 2 diabetes mellitus (T2DM). Therefore, this study aimed to search for the transcriptional characteristics of keratinocytes at the single-cell level from T2DM patients, and to provide experimental data for identifying the pathological mechanisms of keratinocytes under pathological conditions.Methods: We performed single-cell RNA sequencing on the skin tissue from two T2DM patients and one patient without diabetes-induced trauma using the BD Rhapsody^(TM) Single-Cell Analysis System. With the help of bioinformatics R-based single-cell analysis software, we analyzed the results of single-cell sequencing to identify the single-cell subsets and transcriptional characteristics of keratinocytes at the single-cell level, including Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyzes.Results: In this study, we found specific highly expressed signature keratinocyte-related genes. We analyzed the transcriptome of keratinocytes from experimental and control groups and screened a total of 356 differential genes, which were subject to bioinformatics analysis. Enriched pathways included oxidative phosphorylation, antigen processing and presentation, prion and Huntingtons’ diseases, bacterial invasion of epithelial cells, thermogenesis, vasopressin-regulated water reabsorption, and protein processing in the endoplasmic reticulum.Conclusions: This study revealed the characteristics of keratinocytes at the single-cell level and screened a group of differentially expressed genes related to T2DM-associated keratinocytes, oxidative phosphorylation, cytokine receptor interactions, prion diseases, and other signaling pathways.